{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 1.Strategy Selection"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "strategy_name_list = ['boll_cross', 'sma_cross','sma_cross_add_trail']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# 获取每个策略回测的结果\n",
    "result_df_list = [pd.read_csv('./backtesting_csv_result/%s.csv' % st_name ,header=1) for st_name in strategy_name_list]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# 分析每个策略之间回测相关性\n",
    "drawdown_list = [df['drawdown'] for df in result_df_list]\n",
    "dd_corr_list = [[drawdown_list[level_2].corr(drawdown_list[ind]) for ind in range(len(strategy_name_list))] for level_2 in range(len(strategy_name_list))]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>boll_cross</th>\n",
       "      <th>sma_cross</th>\n",
       "      <th>sma_cross_add_trail</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>boll_cross</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.744660</td>\n",
       "      <td>0.305044</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sma_cross</th>\n",
       "      <td>0.744660</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.226181</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sma_cross_add_trail</th>\n",
       "      <td>0.305044</td>\n",
       "      <td>0.226181</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     boll_cross  sma_cross  sma_cross_add_trail\n",
       "boll_cross             1.000000   0.744660             0.305044\n",
       "sma_cross              0.744660   1.000000             0.226181\n",
       "sma_cross_add_trail    0.305044   0.226181             1.000000"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.DataFrame(data=dd_corr_list, index=strategy_name_list, columns=strategy_name_list)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# 分析每个 策略之间daily return的相关性\n",
    "daily_return_list = [df['timereturn'] for df in result_df_list]\n",
    "return_corr_list = [[daily_return_list[level_2].corr(daily_return_list[ind]) for ind in range(len(strategy_name_list))] for level_2 in range(len(strategy_name_list))]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>boll_cross</th>\n",
       "      <th>sma_cross</th>\n",
       "      <th>sma_cross_add_trail</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>boll_cross</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.833342</td>\n",
       "      <td>0.652789</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sma_cross</th>\n",
       "      <td>0.833342</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.745092</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sma_cross_add_trail</th>\n",
       "      <td>0.652789</td>\n",
       "      <td>0.745092</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     boll_cross  sma_cross  sma_cross_add_trail\n",
       "boll_cross             1.000000   0.833342             0.652789\n",
       "sma_cross              0.833342   1.000000             0.745092\n",
       "sma_cross_add_trail    0.652789   0.745092             1.000000"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.DataFrame(data=return_corr_list, index=strategy_name_list, columns=strategy_name_list)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## １.单策略绘制"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "st_name = 'sma_cross_add_trail'\n",
    "st_result = pd.read_csv('./backtesting_csv_result/%s.csv' % st_name ,header=1)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0xa698978>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAABGMAAAHVCAYAAABVBjbLAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xa698470>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "st_result['value'].plot(figsize=(19, 8))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0xac50908>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAABEkAAAHVCAYAAAANeaXSAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\ngP8PSi3H/Snq/14AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xa10c588>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "st_result['drawdown'].plot(figsize=(19, 8))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "st_result = st_result[['close','buy', 'sell', 'benchmark', 'pnlplus', 'pnlminus']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "st_result['return'] = st_result['close'].pct_change()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "buy_list = list(st_result.dropna(subset=['buy']).index)\n",
    "sell_list = list(st_result.dropna(subset=['sell']).index)\n",
    "trade_over_list = sorted(list(st_result.dropna(subset=['pnlplus']).index) + list(st_result.dropna(subset=['pnlminus']).index))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": true,
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "order_list = sorted(buy_list + sell_list)\n",
    "sell_dict = {k:'sell' for k in sell_list}\n",
    "buy_dict = {k:'buy' for k in buy_list}\n",
    "directin_dict = dict(buy_dict, **sell_dict)\n",
    "trade_index_pair = [(order_list[order_list.index(trade_over_index)-1], trade_over_index) for trade_over_index in trade_over_list]\n",
    "long_short_trans = {'buy': -1, 'sell':1}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": true,
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "trade_direction = [long_short_trans[directin_dict[direct]] for direct in trade_over_list]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "max_draw_down_list, return_list = list(), list()\n",
    "for t_index, direct in zip(trade_index_pair, trade_direction):\n",
    "    open_ind, close_ind = t_index\n",
    "    # 获得交易区间的净值曲线\n",
    "    period_net_value = (st_result.loc[open_ind:close_ind]['return'] * direct).add(1)\n",
    "    period_draw_down = (period_net_value / period_net_value.expanding(1).apply(max))-1\n",
    "    # 计算最大回撤\n",
    "    max_draw_down_list.append(abs(period_draw_down.min()))\n",
    "    return_list.append((period_net_value.tolist()[-1] / period_net_value.tolist()[0])-1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0xa65db38>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAABGkAAAGtCAYAAAClVSmuAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nCfwH51mE+t2D4LEAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x5f1d908>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pd.DataFrame(data=[max_draw_down_list, return_list], index=['mm','return']).T.plot.scatter(x='mm',y='return',figsize=(19,7))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "open_ind, close_ind = trade_index_pair[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# 获得交易区间的净值曲线\n",
    "period_net_value = (st_result.loc[open_ind:close_ind]['return'] * trade_direction[0]).add(1)\n",
    "period_draw_down = (period_net_value / period_net_value.expanding(1).apply(max))-1\n",
    "# 计算最大回撤\n",
    "max_draw_down = abs(period_draw_down.min())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.059473531600617857"
      ]
     },
     "execution_count": 81,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "max_draw_down"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.02199644747027385"
      ]
     },
     "execution_count": 90,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "(period_net_value.tolist()[-1] / period_net_value.tolist()[0])-1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.059473531600617857"
      ]
     },
     "execution_count": 77,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>buy</th>\n",
       "      <th>sell</th>\n",
       "      <th>benchmark</th>\n",
       "      <th>pnlplus</th>\n",
       "      <th>pnlminus</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   buy  sell  benchmark  pnlplus  pnlminus\n",
       "0  NaN   NaN        NaN      NaN       NaN\n",
       "1  NaN   NaN        NaN      NaN       NaN\n",
       "2  NaN   NaN        NaN      NaN       NaN\n",
       "3  NaN   NaN        NaN      NaN       NaN\n",
       "4  NaN   NaN        NaN      NaN       NaN"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "st_result.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
